Data Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well‑being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.)

now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position

Ontada is seeking a highly motivated and hands‑on Programmer/Analyst (P3) to support the design, development, and optimization of enterprise‑scale healthcare data platforms. This role will play a critical part in building scalable data pipelines, modern analytics solutions, and cloud‑based data engineering capabilities that power reporting, insights, and data‑driven decision making across the organization.

The ideal candidate combines deep technical expertise in Databricks
, SQL
, Python
, and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of healthcare data. This individual will collaborate closely with engineering, analytics, product, and business stakeholders to deliver reliable, high‑performing, and scalable data solutions while ensuring compliance with healthcare data governance and regulatory requirements.

• Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python.
• Build and optimize ETL/ELT processes to support enterprise reporting, analytics, and operational data needs.
• Develop efficient data models and database solutions to enable high-performance analytics and business intelligence workloads.
• Partner with business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions.
• Create and maintain dashboards, reports, and visualizations using Power BI and Tableau to provide actionable business insights.
• Ensure data quality, integrity, governance, and security across healthcare data platforms.
• Support ingestion, transformation, and integration of clinical, claims, provider, and patient datasets.
• Implement data validation, monitoring, and observability processes to ensure data reliability and operational excellence.
• Design and support workflow orchestration solutions using Databricks Workflows, Apache Airflow, or similar tools.
• Contribute to cloud-based data modernization initiatives and enterprise analytics platforms.
• Develop and maintain CI/CD pipelines and deployment processes utilizing Git Hub and modern Dev Ops practices.
• Apply AI-assisted development tools to improve engineering productivity, code quality, testing, documentation, and overall delivery efficiency.
• Participate in Agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives.
• Tro…